22 Search Results for "Linke, Barbara"


Volume

OASIcs, Volume 89

2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

iPMVM 2020, November 16-18, 2020, Schloss Dagstuhl, Wadern, Germany (Virtual Conference)

Editors: Christoph Garth, Jan C. Aurich, Barbara Linke, Ralf Müller, Bahram Ravani, Gunther H. Weber, and Benjamin Kirsch

Document
Complete Volume
OASIcs, Volume 89, iPMVM 2020, Complete Volume

Authors: Christoph Garth, Jan C. Aurich, Barbara Linke, Ralf Müller, Bahram Ravani, Gunther H. Weber, and Benjamin Kirsch

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
OASIcs, Volume 89, iPMVM 2020, Complete Volume

Cite as

2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 1-364, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@Proceedings{garth_et_al:OASIcs.iPMVM.2020,
  title =	{{OASIcs, Volume 89, iPMVM 2020, Complete Volume}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{1--364},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020},
  URN =		{urn:nbn:de:0030-drops-137486},
  doi =		{10.4230/OASIcs.iPMVM.2020},
  annote =	{Keywords: OASIcs, Volume 89, iPMVM 2020, Complete Volume}
}
Document
Front Matter
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Christoph Garth, Jan C. Aurich, Barbara Linke, Ralf Müller, Bahram Ravani, Gunther H. Weber, and Benjamin Kirsch

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Front Matter, Table of Contents, Preface, Conference Organization

Cite as

2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 0:i-0:xii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{garth_et_al:OASIcs.iPMVM.2020.0,
  author =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{0:i--0:xii},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.0},
  URN =		{urn:nbn:de:0030-drops-137497},
  doi =		{10.4230/OASIcs.iPMVM.2020.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Development and Validation of Energy Simulation for Additive Manufacturing

Authors: Li Yi and Jan C. Aurich

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Additive manufacturing (AM) is a promising manufacturing technology towards cleaner production systems. Nevertheless, recent studies state that environmental benefits of AM are case-specific and need to be evaluated and confirmed in the design phase. To enable the energy performance evaluation in the design phase, developing convenient tools for energy prediction of AM has been an important research task. Aiming at this problem, this paper presents the research for energy modeling, simulation implementation, and experimental validation of an energy simulation tool of two AM processes: Selective laser melting (SLM) and Fused deposition modeling (FDM). The developed simulation tool can be conveniently used for energy consumption quantification and evaluation during the product and process design for AM.

Cite as

Li Yi and Jan C. Aurich. Development and Validation of Energy Simulation for Additive Manufacturing. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 1:1-1:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{yi_et_al:OASIcs.iPMVM.2020.1,
  author =	{Yi, Li and Aurich, Jan C.},
  title =	{{Development and Validation of Energy Simulation for Additive Manufacturing}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{1:1--1:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.1},
  URN =		{urn:nbn:de:0030-drops-137500},
  doi =		{10.4230/OASIcs.iPMVM.2020.1},
  annote =	{Keywords: Additive manufacturing, fused deposition modeling, selective laser melting, energy simulation, eco-design for AM}
}
Document
Physical Modeling of Process-Machine-Interactions in Micro Machining

Authors: Andreas Lange, Benjamin Kirsch, Marius Heintz, and Jan C. Aurich

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Increasing demands for smaller and smarter devices in a variety of applications requires the investigation of process-machine-interactions in micro manufacturing to ensure process results that guarantee part functionality. One approach is the use of simulation-based physical models. In this contribution, methods for the physical modeling of high-precision air bearing and magnetic bearing spindles are presented in addition to a kinematic model of the micro milling process. Both models are superimposed in order to carry out investigations of the slot bottom surface roughness in micro end milling. The results show that process-machine-interactions in micro manufacturing can be modeled by the superposition of a physical model of the machine tool spindle taking cutting forces into consideration and a purely kinematic model of the machining process, providing the necessary tools for a variety of further investigations into process-machine-interactions in micro manufacturing.

Cite as

Andreas Lange, Benjamin Kirsch, Marius Heintz, and Jan C. Aurich. Physical Modeling of Process-Machine-Interactions in Micro Machining. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 2:1-2:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{lange_et_al:OASIcs.iPMVM.2020.2,
  author =	{Lange, Andreas and Kirsch, Benjamin and Heintz, Marius and Aurich, Jan C.},
  title =	{{Physical Modeling of Process-Machine-Interactions in Micro Machining}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{2:1--2:20},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.2},
  URN =		{urn:nbn:de:0030-drops-137512},
  doi =		{10.4230/OASIcs.iPMVM.2020.2},
  annote =	{Keywords: multiphysics, air bearing, magnetic bearing, surface roughness modeling, micro milling}
}
Document
Simulation and Application of a Piezo-Driven System Enabling Vibration-Assisted Micro Milling

Authors: Sebastian Greco, Katja Klauer, Benjamin Kirsch, and Jan C. Aurich

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
The ongoing miniaturization of components and the functionalization of surfaces necessitates the improvement of micro machining processes and to increase their efficiency. One method to increase the machining efficiency is reducing the process forces and tool wear, which is achieved by the implementation of vibration-assisted cutting in conventional machining processes. In vibration-assisted cutting, the conventional cutting movement is superimposed by a vibration with defined frequency. By using vibration-assisted cutting technologies, besides increased efficiency, a wider range of materials can be machined. In this paper, vibration-assisted cutting is transferred to micro machining. For this purpose, the design, simulation and application of an easy to integrate system that enables vibration-assisted cutting for micro machining processes is described. The setup was tested using a micro milling process. Two orientations between feed direction and vibration direction were investigated. Frequencies up to 15 kHz were examined, the machined material was brass (CuZn39Pb2). The effect of the superimposed vibration was analysed on the basis of process force, surface roughness, burr formation and slot bottom and was compared with the process results of micro milling without vibration-assistance. A decrease in process forces of up to 63 % was observed during vibration-assisted micro milling.

Cite as

Sebastian Greco, Katja Klauer, Benjamin Kirsch, and Jan C. Aurich. Simulation and Application of a Piezo-Driven System Enabling Vibration-Assisted Micro Milling. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 3:1-3:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{greco_et_al:OASIcs.iPMVM.2020.3,
  author =	{Greco, Sebastian and Klauer, Katja and Kirsch, Benjamin and Aurich, Jan C.},
  title =	{{Simulation and Application of a Piezo-Driven System Enabling Vibration-Assisted Micro Milling}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{3:1--3:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.3},
  URN =		{urn:nbn:de:0030-drops-137523},
  doi =		{10.4230/OASIcs.iPMVM.2020.3},
  annote =	{Keywords: micro machining, micro milling, vibration-assisted cutting, Finite Element Analysis, surface roughness}
}
Document
Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps

Authors: Anna-Pia Lohfink and Christoph Garth

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Modern applications in computational science are increasingly focusing on understanding uncertainty in models and parameters in simulations. In this paper, we describe visitation graphs, a novel approximation technique for the well-established visualization of steady 2D vector field ensembles using visitation maps. Our method allows the efficient and robust computation of arbitrary visitation maps for vector field ensembles. A pre-processing step that can be parallelized to a high degree eschews the needs to store every ensemble member and to re-calculate every time the start position of the visitation map is changed. Tradeoffs between accuracy of generated visitation maps on one side and pre-processing time and storage requirements on the other side can be made. Instead of downsampling ensemble members to a storable size, coarse visitation graphs can be stored, giving more accurate visitation maps while still reducing the amount of data. Thus accurate visitation map creation is possible for ensembles where the traditional visitation map creation is prohibitive. We describe our approach in detail and demonstrate its effectiveness and utility on examples from Computational Fluid Dynamics.

Cite as

Anna-Pia Lohfink and Christoph Garth. Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 4:1-4:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{lohfink_et_al:OASIcs.iPMVM.2020.4,
  author =	{Lohfink, Anna-Pia and Garth, Christoph},
  title =	{{Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{4:1--4:20},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.4},
  URN =		{urn:nbn:de:0030-drops-137533},
  doi =		{10.4230/OASIcs.iPMVM.2020.4},
  annote =	{Keywords: Uncertain flow visualization, Ensemble visualization, Visitation maps, In-situ}
}
Document
Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature

Authors: Destiny R. Garcia, Barbara S. Linke, and Rida T. Farouki

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Machining distortion presents a significant problem in products with high residual stresses from materials processing and re-equilibration after machining removes a large part of the material volume and is common in the aerospace industries. While many papers research on mechanisms of machining distortion, few papers report on the measurement, processing and characterization of distortion data. Oftentimes only line plot data is used to give a maximum distortion value. This paper proposes a method of measurement tool selection, measurement parameter selection, data processing through filtering and leveling, and use of Bézier Surfaces and Gaussian Curvature for distortion characterization. The method is demonstrated with three sample pieces of different pocket geometry from quenched aluminum. It is apparent that samples with machining distortion can have complex surface shapes, where Bézier Surfaces and Gaussian Curvature provide more information than the commonly used 2D line plot data.

Cite as

Destiny R. Garcia, Barbara S. Linke, and Rida T. Farouki. Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 5:1-5:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{garcia_et_al:OASIcs.iPMVM.2020.5,
  author =	{Garcia, Destiny R. and Linke, Barbara S. and Farouki, Rida T.},
  title =	{{Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{5:1--5:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.5},
  URN =		{urn:nbn:de:0030-drops-137542},
  doi =		{10.4230/OASIcs.iPMVM.2020.5},
  annote =	{Keywords: Machining distortion, Metrology, Gaussian curvature}
}
Document
Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies

Authors: Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
We present an exploratory data analysis approach for finite element (FE) simulations to interactively inspect measured deviations in sheet metals arising in automotive applications. Exterior car body parts consist of large visible surfaces, and strict tolerances must be met by them to satisfy both aesthetic requirements and quality performance requirements. To fulfill quality requirements like gap and flushness, exterior vehicle components have adjustable mechanical boundaries. These boundaries are used to influence the shape and position of a sheet metal part relative to its chassis. We introduce a method that supports an inspection engineer with an interactive framework that makes possible a detailed analysis of measured sheet metal deviation fields generated from 3D scans. An engineer can interactively change boundary conditions and obtains the resulting deviation field in real-time. Thus, it is possible to determine viable and desirable adjustments efficiently, leading to time and cost savings in the assembly process.

Cite as

Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann. Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 6:1-6:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{claus_et_al:OASIcs.iPMVM.2020.6,
  author =	{Claus, Felix and Hagen, Hans and Leonhardt, Viktor and Leitte, Heike and Hamann, Bernd},
  title =	{{Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{6:1--6:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.6},
  URN =		{urn:nbn:de:0030-drops-137554},
  doi =		{10.4230/OASIcs.iPMVM.2020.6},
  annote =	{Keywords: Data Analysis, Interactive Inspection, 3D-Metrology, Finite Element Simulation}
}
Document
Influence of Flank Face Structuring on Cooling, Tool Lifetime and Borehole Quality When Drilling Inconel 718: Physical Simulations and Experimental Validation

Authors: Daniel Müller, Benjamin Kirsch, and Jan C. Aurich

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
When drilling difficult-to-cut materials such as Inconel 718, the drills are exposed to high thermomechanical loads. Due to the low thermal conductivity of the workpiece material, a large amount of the generated heat has to be dissipated by the metal working fluid (MWF). However, the cutting zone is located inside the workpiece, which makes it challenging to provide sufficient MWF to the cutting zone. To solve this, drills with internal cooling channels are commonly used. In this work, the influence of differently structured flank faces on cooling efficiency, tool life, process forces and borehole quality is investigated. The influence of the structures on the cooling was investigated by Computational-Fluid-Dynamics (CFD) simulations. These simulations allow a detailed analysis of the flow conditions inside the borehole and showed that the structuring improved flow conditions, especially near the thermally highly loaded main cutting edge. The improved flow conditions resulted in an extension of the tool life by up to 22 % compared to unstructured drills in experimental investigations.

Cite as

Daniel Müller, Benjamin Kirsch, and Jan C. Aurich. Influence of Flank Face Structuring on Cooling, Tool Lifetime and Borehole Quality When Drilling Inconel 718: Physical Simulations and Experimental Validation. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 7:1-7:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{muller_et_al:OASIcs.iPMVM.2020.7,
  author =	{M\"{u}ller, Daniel and Kirsch, Benjamin and Aurich, Jan C.},
  title =	{{Influence of Flank Face Structuring on Cooling, Tool Lifetime and Borehole Quality When Drilling Inconel 718: Physical Simulations and Experimental Validation}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{7:1--7:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.7},
  URN =		{urn:nbn:de:0030-drops-137562},
  doi =		{10.4230/OASIcs.iPMVM.2020.7},
  annote =	{Keywords: drilling, cooling, CFD}
}
Document
Determination of Aggregate Elastic Properties of Powder-Beds in Additive Manufacturing Using Convolutional Neural Networks

Authors: Ardalan R. Sofi and Bahram Ravani

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
The most popular strategy for the estimation of effective elastic properties of powder-beds in Additively Manufactured structures (AM structures) is through either the Finite Element Method (FEM) or the Discrete Element Method (DEM). Both of these techniques, however, are computationally expensive for practical applications. This paper presents a novel Convolutional Neural Network (CNN) regression approach to estimate the effective elastic properties of powder-beds in AM structures. In this approach, the time-consuming DEM is used for CNN training purposes and not at run time. The DEM is used to model the interactions of powder particles and to evaluate the macro-level continuum-mechanical state variables (volume average of stress and strain). For the Neural Network training purposes, the DEM code creates a dataset, including hundreds of AM structures with their corresponding mechanical properties. The approach utilizes methods from deep learning to train a CNN capable of reducing the computational time needed to predict the effective elastic properties of the aggregate. The saving in computational time could reach 99.9995% compared to DEM, and on average, the difference in predicted effective elastic properties between the DEM code and trained CNN is less than 4%. The resulting sub-second level computational time can be considered as a step towards the development of a near real-time process control system capable of predicting the effective elastic properties of the aggregate at any given stage of the manufacturing process.

Cite as

Ardalan R. Sofi and Bahram Ravani. Determination of Aggregate Elastic Properties of Powder-Beds in Additive Manufacturing Using Convolutional Neural Networks. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 8:1-8:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{sofi_et_al:OASIcs.iPMVM.2020.8,
  author =	{Sofi, Ardalan R. and Ravani, Bahram},
  title =	{{Determination of Aggregate Elastic Properties of Powder-Beds in Additive Manufacturing Using Convolutional Neural Networks}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{8:1--8:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.8},
  URN =		{urn:nbn:de:0030-drops-137574},
  doi =		{10.4230/OASIcs.iPMVM.2020.8},
  annote =	{Keywords: Additive Manufacturing, Convolutional Neural Network, Homogenization, Discrete Element Method, Powder-Bed}
}
Document
A Phase Field Modeling Approach of Crack Growth in Materials with Anisotropic Fracture Toughness

Authors: Christoph Schreiber, Tim Ettrich, Charlotte Kuhn, and Ralf Müller

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Within this contribution, we present a diffuse interface approach for the simulation of crack nucleation and growth in materials, which incorporates an orientation dependency of the fracture toughness. After outlining the basic motivation for the model from an engineering standpoint, the phase field paradigm for fracture is introduced. Further, a specific phase field model for brittle fracture is reviewed, where we focus on the meaning of the auxiliary parameter differentiating between material phases and the coupling of such a parameter to continuum equations in order to obtain the characteristic self organizing model properties. This specific model, as will be explained, provides the phenomenological and methodical basis for the presented enhancement. The formulation of an appropriate evolution equation in terms of a Ginzburg-Landau type equation will be highlighted and several comments on sharp interface models will be made to present a brief comparison. Following up on the basics we then introduce the formulation of a modified version of the model, which additionally to the handling of cracks in linear elastic materials under quasi static loading is also capable of taking into account the effect of resistance variation with respect to the potential crack extension direction. The strong and also the weak forms of the respective governing equations corresponding to the developed anisotropic phase field model are presented. Utilizing the weak formulation as starting point for the discretization of the two fields (displacement field and the phase field), the computational framework in terms of finite elements is introduced. We finally explain several test cases investigated within simulations and discuss the corresponding numerical results. Besides examples, which are set up to illustrate the general model properties, a comparison with crack paths obtained by experimental investigations will be presented in order to show the potential of the developed phase field model.

Cite as

Christoph Schreiber, Tim Ettrich, Charlotte Kuhn, and Ralf Müller. A Phase Field Modeling Approach of Crack Growth in Materials with Anisotropic Fracture Toughness. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 9:1-9:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{schreiber_et_al:OASIcs.iPMVM.2020.9,
  author =	{Schreiber, Christoph and Ettrich, Tim and Kuhn, Charlotte and M\"{u}ller, Ralf},
  title =	{{A Phase Field Modeling Approach of Crack Growth in Materials with Anisotropic Fracture Toughness}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{9:1--9:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.9},
  URN =		{urn:nbn:de:0030-drops-137581},
  doi =		{10.4230/OASIcs.iPMVM.2020.9},
  annote =	{Keywords: Phase field modeling, Brittle fracture, Anisotropic fracture toughness, Finite elements}
}
Document
Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles

Authors: Patrick Ruediger, Christoph Garth, Hans Hagen, and Heike Leitte

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
We provide an evaluation of the applicability of video compression techniques for compressing visualization image databases that are often used for in situ visualization. Considering relevant practical implementation aspects, we identify relevant compression parameters, and evaluate video compression for several test cases, involving several data sets and visualization methods; we use three different video codecs. To quantify the benefits and drawbacks of video compression, we employ metrics for image quality, compression rate, and performance. The experiments discussed provide insight into good choices of parameter values, working well in the considered cases.

Cite as

Patrick Ruediger, Christoph Garth, Hans Hagen, and Heike Leitte. Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 10:1-10:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{ruediger_et_al:OASIcs.iPMVM.2020.10,
  author =	{Ruediger, Patrick and Garth, Christoph and Hagen, Hans and Leitte, Heike},
  title =	{{Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{10:1--10:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.10},
  URN =		{urn:nbn:de:0030-drops-137591},
  doi =		{10.4230/OASIcs.iPMVM.2020.10},
  annote =	{Keywords: Image Database, CinemaDB, Video Compression, Evaluation, Benchmark, In-situ}
}
Document
Finite Element Simulation Combination to Predict the Distortion of Thin Walled Milled Aluminum Workpieces as a Result of Machining Induced Residual Stresses

Authors: Daniel Weber, Benjamin Kirsch, Christopher R. Chighizola, Julianne E. Jonsson, Christopher R. D’Elia, Barbara S. Linke, Michael R. Hill, and Jan C. Aurich

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Machining induced residual stresses (MIRS) are a main driver for distortion of monolithic thin walled aluminum workpieces. A typical machining process for manufacturing such geometries for the aerospace industry is milling. In order to avoid high costs due to remanufacturing or part rejection, a simulation combination, consisting of two different finite element method (FEM) models, is developed to predict the part distortion due to MIRS. First, a 3D FEM cutting simulation is developed to predict the residual stresses due to machining. This simulation avoids cost intensive residual stress measurements. The milling process of the aluminum alloy AA7050-T7451 with a regular end mill is simulated. The simulation output, MIRS, forces and temperatures, is validated by face milling experiments on aluminum. The model takes mechanical dynamic effects, thermomechanical coupling, material properties and a damage law into account. Second, a subsequent finite element simulation, characterized by a static, linear elastic model, where the simulated MIRS from the cutting model are used as an input and the distortion of the workpiece is calculated, is presented. The predicted distortion is compared to an additional experiment, where a 1 mm thick wafer was removed at the milled surface of the aluminum workpiece. Furthermore, a thin walled component that represents a down scaled version of an aerospace component is manufactured and its distortion is analyzed. The results show that MIRS could be forecasted with moderate accuracy, which leads to the conclusion that the FEM cutting model needs to be improved in order to use the MIRS for a correct prediction of the distortion with the help of the linear elastic FEM model. The linear elastic model on the other hand is able to predict the part distortion with higher accuracy when using measured data instead of MIRS from the cutting simulation.

Cite as

Daniel Weber, Benjamin Kirsch, Christopher R. Chighizola, Julianne E. Jonsson, Christopher R. D’Elia, Barbara S. Linke, Michael R. Hill, and Jan C. Aurich. Finite Element Simulation Combination to Predict the Distortion of Thin Walled Milled Aluminum Workpieces as a Result of Machining Induced Residual Stresses. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 11:1-11:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{weber_et_al:OASIcs.iPMVM.2020.11,
  author =	{Weber, Daniel and Kirsch, Benjamin and Chighizola, Christopher R. and Jonsson, Julianne E. and D’Elia, Christopher R. and Linke, Barbara S. and Hill, Michael R. and Aurich, Jan C.},
  title =	{{Finite Element Simulation Combination to Predict the Distortion of Thin Walled Milled Aluminum Workpieces as a Result of Machining Induced Residual Stresses}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{11:1--11:21},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.11},
  URN =		{urn:nbn:de:0030-drops-137604},
  doi =		{10.4230/OASIcs.iPMVM.2020.11},
  annote =	{Keywords: Machining induced residual stresses, distortion, Finite element method simulation}
}
Document
Modeling of Nanoindentation in Ni-Graphene Nanocomposites: A Molecular Dynamics Sensitivity Study

Authors: Vardan Hoviki Vardanyan and Herbert M. Urbassek

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)


Abstract
Using molecular dynamics simulation, we perform nanoindentation simulations on a Ni-graphene model system, in which a graphene flake coats the grain boundary of a Ni bi-crystal. Material strengthening or weakening by inclusion of graphene is discussed with the help of the force needed to indent to a specified depth. By varying the depth of the graphene flake with respect to the indentation depth we identify the distance up to which graphene influences the indentation behavior. In addition, we vary the details of the modeling of the graphene flake in the matrix metal and determine their influence on the performance of the nanocomposite. Our results indicate that the modeling results are robust against variations in the modeling of the graphene flake.

Cite as

Vardan Hoviki Vardanyan and Herbert M. Urbassek. Modeling of Nanoindentation in Ni-Graphene Nanocomposites: A Molecular Dynamics Sensitivity Study. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 12:1-12:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{vardanyan_et_al:OASIcs.iPMVM.2020.12,
  author =	{Vardanyan, Vardan Hoviki and Urbassek, Herbert M.},
  title =	{{Modeling of Nanoindentation in Ni-Graphene Nanocomposites: A Molecular Dynamics Sensitivity Study}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{12:1--12:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.12},
  URN =		{urn:nbn:de:0030-drops-137614},
  doi =		{10.4230/OASIcs.iPMVM.2020.12},
  annote =	{Keywords: molecular dynamics, nickel-graphene composites, dislocations, nanoindentation}
}
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